环境变化的时间尺度调节微生物群落代谢导向内聚

Kyle Crocker, Abigail Skwara, Rathi Kannan, Arvind Murugan, Seppe Kuehn
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引用次数: 0

摘要

微生物群落经历了从湿度、温度或光照水平的快速变化到长期季节性或气候变化的时间尺度上的环境波动。了解微生物种群对这些变化的反应对于预测扰动、干预和气候变化对群落的影响至关重要。由于群落通常包含数十到数百种不同的分类群,因此微生物丰度对扰动的反应可能是复杂的。然而,尽管分类多样性很高,但在许多群落中,分类群可以归为具有相似代谢性状的菌株的代谢行会。这些行会通过提供生理动机的粗粒度有效地降低了系统的复杂性。在这里,通过模拟、理论和实验的结合,我们证明了公会对营养波动的反应取决于这些波动的时间尺度。营养水平的快速变化推动了行会内部紧密、正相关的丰度动态。对于环境变化缓慢的时间尺度,公会内的成员由于相似的资源偏好而开始竞争,导致同一公会成员之间的丰度呈负相关。我们的研究结果为理解代谢行会和群落对环境变化的反应之间的关系提供了一条途径,也为通过对群落进行设计的营养扰动来发现代谢行会提供了一种实验方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Timescale of environmental change modulates metabolic guild cohesion in microbial communities
Microbial communities experience environmental fluctuations across timescales from rapid changes in moisture, temperature, or light levels to long-term seasonal or climactic variations. Understanding how microbial populations respond to these changes is critical for predicting the impact of perturbations, interventions, and climate change on communities. Because communities typically harbor tens to hundreds of distinct taxa, the response of microbial abundances to perturbations is potentially complex. However, even though taxonomic diversity is high, in many communities taxa can be grouped into metabolic guilds of strains with similar metabolic traits. These guilds effectively reduce the complexity of the system by providing a physiologically motivated coarse-graining. Here, using a combination of simulations, theory, and experiments, we show that the response of guilds to nutrient fluctuations depends on the timescale of those fluctuations. Rapid changes in nutrient levels drive cohesive, positively correlated abundance dynamics within guilds. For slower timescales of environmental variation, members within a guild begin to compete due to similar resource preferences, driving negative correlations in abundances between members of the same guild. Our results provide a route to understanding the relationship between metabolic guilds and community response to changing environments, as well as an experimental approach to discovering metabolic guilds via designed nutrient perturbations to communities.
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